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Put a picture of what was created here Sponsor: Name & Affiliation Faculty Advisor: Name Team Members Vinh Diep Francisco Saavedra Matthew Bringhurst Project Manager & Embedded Systems Engineer I Test Engineer & Embedded Systems Engineer II Design Engineer Project Overview Design Approach Results Future Work GOALS OF PROJECT STRETCH GOALS Create Low powered Sensing Node PCB Design Capture both AC/DC Voltages and Currents from Solar Panel or Wind Turbine systems Recharge circuit by Solar panel or wind turbine Wirelessly transmit processed data through TWP and IoT Gateway to the Proximetry Cloud Server Updates values every 15 seconds to Proximetry The problem: o o o Wired Systems Expensive No complete system in place Why is this important? o o Remote monitoring Scalable – Reduction of cost Continued collaboration between NXP and Texas State University Develop a prototype and demonstrate functionality using NXP development tools (Kinetis KW24 TOWER board etc.) Provided technology and technical advise I-V Sensor Node Device Cost We planned that unit would cost under $25. The unit actually cost $49.23. The main I-V sensor cost $39.95 We’ve spent over $300 in rookie mistakes: • Understanding certain components (ex. shunt) • Testing out different versions of analog design Items Cost MAX4194 (2) $5.38 1N4004 (6) $.78 10k resistor (5) $.66 330k resistor (1) $.47 3.65k resistor (1) $.61 100mA fuses (3) $.66 Fuse Holders (3) $6.78 PCB Board (1) $15 50A /.075V Shunt (1) $5 Enclosure (1) $7 Terminal Strip (1) $2.89 Voltage Regulators (2) $4 Total $49.23 16 bit MKW24 MCU and Tower Board Development System Thread Wireless Protocol Build the device based on Wind Turbine and Solar panel Voltage and Current maximum output 300V, 50A Single Supply Operation Design and simulate Analog circuit with a Spice Program Test for Linearity Implement ADC for Voltage, Current, and DC Offset Data Correction Implement moving Average for True RMS Utilize thread library to implement TWP and send data to Proximetry GUI Device is fully functional with minimal error High Voltage AC and DC test, low DC current tested Readings are in TRUE RMS Dynamic DC offset calibration Frequency of Proximetry were within reason Accomplished Stretch Goal: PCB assembled, test, and enclosed. Battery and MKW24 also enclosed. 3 ADCs for Voltage, Current, and DC offset, respectively pins 80, 79, 78 on the MKW24 DC Input Voltage DCExpected Input Voltage Digital Value Actual Digital Value % Error 0.5007V 10769 0.5007V 10758 0.1022 1.5020V 32262 1.5020V 32255 0.0217 2.5009V 53787 2.5009V 53810 0.0427 Expected Digital Value Actual Digital Value % Error 10769 10758 0.1022 32262 32255 0.0217 53787 53810 0.0427 1) Stable DC Offset Voltage 2) Convert the digital representation into Voltages (1-1 ratio) 3) Plot a regression and find the slope and offset, this will be used for data correction. 4) Check Proximetry values against Voltmeter/Ammeter • DC offset is used in data correction calculations • Changes in reference voltage over time will cause an increase in error • Our Solution: Dynamic reference voltage utilizing another ADC High Voltage Test: DC proximetry = 0.2421 + 1 .005 multimeter 200 S R-Sq R-Sq(adj) 0.1 9281 1 1 00.0% 1 00.0% Sensing Type Full Range % Error Voltage DC 0.1318 Voltage AC 0.9301 Current DC 0.49 Current AC TBD 1 00 50 0 0 50 1 00 1 50 200 8808A Multimeter VDC High Voltage Test: AC Proximetry Voltage = 2.088 + 1 .004 8808A Multimeter 1 60 DC Test – up to 200V, up to 3.18A AC Test – up to 150VRMS *AC Current is to be tested S R-Sq R-Sq(adj) 1 40 1 20 Proximetry VRMS Proximetry VDC 1 50 1 00 80 60 40 20 0 0 20 40 60 80 1 00 8808A Multimeter VRMS 1 20 1 40 1 60 0.0827578 1 00.0% 1 00.0% Time Stamps Time Elapsed(s) [04:33:48] 0 [04:34:03] 15 [04:34:18] 15 [04:34:33] 15 [04:34:48] 15 [04:35:03] 15 [04:35:18] 15 [04:35:33] 15 [04:35:48] 15 [04:36:04] 16 [04:36:19] 15 [04:36:34] 15 [04:36:49] 15 * Output from Putty Average Power Consumption testing to improve life of the battery. Our second stretch goal was create a recharge circuit User controlled updating to control the frequency to the Proximetry Servers. High Current sampling to properly improve data correction factor for AC/DC Current Research on Wind Turbine and Solar Panel abnormal behaviors/errors to improve error handling Dr. Kevin Kemp (NXP) – Technical advisor and Sponsor Dr. William Stapleton (Texas State) – Faculty advisor Dr. Rich Compeau (Texas State) – Faculty advisor Sarah Rivas – Texas State Gatekeeper